M.S. in Computer Science
The Master of Science in Computer Science aims at encouraging the discovery and transmission of knowledge, the education of students, the training of future faculty, and the general wellbeing of society. The program provides a broad foundation of study in computer science combined with in-depth study in four concentration areas.
Graduate work in computer science involves the study of the development of physical and theoretical design and understanding of computer systems, as well as the implementation of those developments into everyday life.
Graduates of the master’s program may become researchers, computer systems analysts, computer systems administrators, and take up many other careers in the industry.
The program is balanced in breadth and depth in support of the department’s research thrust areas. Recognizing different needs, LAU offers two plans—one with a thesis option and one with a project option. Both require 30 credits of course work that are offered at night.
In addition to the admission requirements that are explicitly stated in the graduate admissions page, CSC310 Algorithms and Data Structures is a required course from students who have a non-computer science degree. It may be taken as a remedial course after admission.
The graduate curriculum requires two core courses and the completion of a thesis or a project. Students choose the remaining courses from four different concentration areas without restrictions. The concentration areas are:
- Algorithms and Theory
- Hardware and Networks
- Software Engineering
The graduate program also offers an advanced “Topics” course that may be taken more than once, to allow students gain even more in-depth knowledge in a particular area.
Students need 30 credits of major courses (12 credits for the core, 3 credits for the project, or 6 credits for the thesis, and 12 or 15 credits of electives).
I. Core requirements (3 credits)
The following are required / core courses:
II. Project or thesis option (3 or 6 credits)
III. Electives from four concentration areas
The following courses are categorized into concentration areas for advising purposes.
A. Algorithms and Theory
|CSC611||Design and Analysis of Algorithms||3|
|CSC612||Foundations of Computer Science||3|
|CSC613||Computational Methods in Biology||3|
|CSC616||Cryptography and Data Security||3|
|CSC647||Parallel Algorithms and Programming||3|
|CSC650||Advanced Computer Graphics||3|
|CSC660||Artificial Intelligence: Principles and Techniques||3|
|CSC621||Transaction Processing Systems||3|
|CSC625||Discrete Event Simulation||3|
C. Hardware and Networks
|CSC631||High Performance Computer Architecture||3|
|CSC637||Pervasive Computing and Wireless Networking||3|
D. Software Engineering
|CSC690||Search-Based Software Engineering||3|
|CSC691||Advanced Software Engineering||3|
|CSC694||Software Quality Assurance and Testing||3|
|CSC697||Managing Software Development||3|
|CSC688||Advanced Topics in Computer Science||3|
This program can be completed in two years.
This program is offered in Beirut and Byblos.
More about this program
- Mission, objectives and intended outcomes
- Graduate Student Guide
- Application for Graduate Assistantship